What is MiMo-V2-Flash?

MiMo-V2-Flash is a 309-billion parameter Mixture-of-Experts (MoE) foundation language model developed by Xiaomi, with only 15 billion active parameters per inference step. This architecture makes it both powerful and remarkably efficient. The model excels in reasoning, coding, and agentic tasks, yet it is equally capable as a general-purpose assistant for everyday conversations, brainstorming, and information retrieval. It delivers output at speeds up to 150 tokens per second while keeping costs extremely low.

Who it's for

• Developers and engineers who need a fast, cost-effective model for coding assistance, debugging, and integrating AI into agentic workflows.
• Researchers and data scientists working on complex reasoning tasks, mathematical problem-solving, or long-context analysis that demands high throughput.
• Everyday users and creators looking for a responsive conversational partner for idea generation, learning, or general productivity support.

Key features

Blazing-fast inference at minimal cost

MiMo-V2-Flash achieves up to 150 tokens per second output speed, with pricing at just $0.10 per million input tokens and $0.30 per million output tokens. This combination makes it one of the most cost-effective high-performance models on the market.

Hybrid attention architecture

The model uses a 1:5 mix of Global Attention and Sliding Window Attention. This design delivers strong performance across general tasks, long-context reasoning, and coding, while maintaining a fixed-size KV cache that integrates smoothly with existing training and inference infrastructure.

Multi-Token Prediction training

By introducing Multi-Token Prediction during training, MiMo-V2-Flash boosts its base capabilities and enables parallel token validation during inference. This innovation directly contributes to the model's exceptional output throughput.